Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
AI Impact Summit | Explained: India AI Impact Summit 2026
The India AI Summit 2026 is expected to be a pivotal event in the global artificial intelligence landscape. Scheduled to…
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv:2602.12316v1 Announce Type: new Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI…
DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
arXiv:2602.12205v2 Announce Type: replace-cross Abstract: Current unified multimodal models for image generation and editing typically rely on massive parameter scales…
Detecting Object Tracking Failure via Sequential Hypothesis Testing
arXiv:2602.12983v1 Announce Type: cross Abstract: Real-time online object tracking in videos constitutes a core task in computer vision, with wide-ranging…
Learning Native Continuation for Action Chunking Flow Policies
arXiv:2602.12978v1 Announce Type: cross Abstract: Action chunking enables Vision Language Action (VLA) models to run in real time, but naive…
Variation-aware Flexible 3D Gaussian Editing
arXiv:2602.11638v2 Announce Type: replace-cross Abstract: Indirect editing methods for 3D Gaussian Splatting (3DGS) have recently witnessed significant advancements. These approaches…
Explaining AI Without Code: A User Study on Explainable AI
arXiv:2602.11159v1 Announce Type: new Abstract: The increasing use of Machine Learning (ML) in sensitive domains such as healthcare, finance, and…
Chatting with Images for Introspective Visual Thinking
arXiv:2602.11073v2 Announce Type: replace-cross Abstract: Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single-pass visual…